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Proceedings Paper

Font generation of personal handwritten Chinese characters
Author(s): Jeng-Wei Lin; Chih-Yin Wang; Chao-Lung Ting; Ray-I Chang
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Paper Abstract

Today, digital multimedia messages have drawn more and more attention due to the great achievement of computer and network techniques. Nevertheless, text is still the most popular media for people to communicate with others. Many fonts have been developed so that product designers can choose unique fonts to demonstrate their idea gracefully. It is commonly believed that handwritings can reflect one’s personality, emotion, feeling, education level, and so on. This is especially true in Chinese calligraphy. However, it is not easy for ordinary users to customize a font of their personal handwritings. In this study, we performed a process reengineering in font generation. We present a new method to create font in a batch mode. Rather than to create glyphs of characters one by one according to their codepoints, people create glyphs incrementally in an on-demand manner. A Java Implementation is developed to read a document image of user handwritten Chinese characters, and make a vector font of these handwritten Chinese characters. Preliminary experiment result shows that the proposed method can help ordinary users create their personal handwritten fonts easily and quickly.

Paper Details

Date Published: 10 January 2014
PDF: 6 pages
Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 90691T (10 January 2014); doi: 10.1117/12.2050128
Show Author Affiliations
Jeng-Wei Lin, Tunghai Univ. (Taiwan)
Chih-Yin Wang, National Taiwan Univ. (Taiwan)
Chao-Lung Ting, National Taiwan Univ. (Taiwan)
Ray-I Chang, National Taiwan Univ. (Taiwan)


Published in SPIE Proceedings Vol. 9069:
Fifth International Conference on Graphic and Image Processing (ICGIP 2013)
Yulin Wang; Xudong Jiang; Ming Yang; David Zhang; Xie Yi, Editor(s)

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